Harnessing machine learning for efficient large-scale interatomic potential for sildenafil and pharmaceuticals containing H, C, N, O, and S (bibtex)

by Nikidis, E., Kyriakopoulos, N., Tohid, R., Kachrimanis, K. and Kioseoglou, J.

Reference:

Harnessing machine learning for efficient large-scale interatomic potential for sildenafil and pharmaceuticals containing H, C, N, O, and S (Nikidis, E., Kyriakopoulos, N., Tohid, R., Kachrimanis, K. and Kioseoglou, J.), In Nanoscale, The Royal Society of Chemistry, 2024.

Bibtex Entry:

@article{doi:0.1039/D4NR00929K,
	call={pr015},
        acronym={NOUS},
        fulltitle={Novel nanOstrUctured materials Systems },
        pi={Joseph Kioseoglou},
        affiliation={Aristotle University of Thessaloniki},
        researchfield={Chemical Sciences and Materials},
	author ="Nikidis, E. and Kyriakopoulos, N. and Tohid, R. and Kachrimanis, K. and Kioseoglou, J.",
	title  ="Harnessing machine learning for efficient large-scale interatomic potential for sildenafil and pharmaceuticals containing H{,} C{,} N{,} O{,} and S",
	journal  ="Nanoscale",
	year  ="2024",
	bibyear = "2024",
	pages  ="-",
	publisher  ="The Royal Society of Chemistry",
	doi  ="10.1039/D4NR00929K",
	url  ="http://dx.doi.org/10.1039/D4NR00929K",
}